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A Correlation-Based Transition Model Using Local Variables—Part I: Model Formulation

Menter, F. R., Langtry, R. B., Likki, S. R., Suzen, Y. B., Huang, P. G., Völker, S.·2006·Journal of Turbomachinery

Abstract

A new correlation-based transition model has been developed, which is based strictly on local variables. As a result, the transition model is compatible with modern computational fluid dynamics (CFD) approaches, such as unstructured grids and massive parallel execution. The model is based on two transport equations, one for intermittency and one for the transition onset criteria in terms of momentum thickness Reynolds number. The proposed transport equations do not attempt to model the physics of the transition process (unlike, e.g., turbulence models) but form a framework for the implementation of correlation-based models into general-purpose CFD methods. Part I (this part) of this paper gives a detailed description of the mathematical formulation of the model and some of the basic test cases used for model validation, including a two-dimensional turbine blade. Part II (Langtry, R. B., Menter, F. R., Likki, S. R., Suzen, Y. B., Huang, P. G., and Völker, S., 2006, ASME J. Turbomach., 128(3), pp. 423–434) of the paper details a significant number of test cases that have been used to validate the transition model for turbomachinery and aerodynamic applications. The authors believe that the current formulation is a significant step forward in engineering transition modeling, as it allows the combination of correlation-based transition models with general purpose CFD codes.

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Metadata

Authors
Menter, F. R., Langtry, R. B., Likki, S. R., Suzen, Y. B., Huang, P. G., & Völker, S.
Venue
Journal of Turbomachinery
Published
2004-03-01
Volume
128
Issue
3
Pages
413-422
ISSN
  • 0889-504X (ISSN-L)
  • 1528-8900
OpenAlex
W2150805640
Cited by
1,485
References
1
FWCI
7.99
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Correlation-Based Transition Model Using Local Variables—Part I: Model Formulation. https://app.cochat.ai/papers/10.1115/1.2184352
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Menter, F. R., Langtry, R. B., Likki, S. R., Suzen, Y. B., Huang, P. G., & Völker, S. (2006). A Correlation-Based Transition Model Using Local Variables—Part I: Model Formulation. Journal of Turbomachinery. https://doi.org/10.1115/1.2184352

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.